CN1083112A - A kind of method for determining bacteria and equipment - Google Patents
A kind of method for determining bacteria and equipment Download PDFInfo
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- CN1083112A CN1083112A CN 93106931 CN93106931A CN1083112A CN 1083112 A CN1083112 A CN 1083112A CN 93106931 CN93106931 CN 93106931 CN 93106931 A CN93106931 A CN 93106931A CN 1083112 A CN1083112 A CN 1083112A
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Abstract
The invention discloses a kind of bacterial identification authentication method, be non-enteron aisle gram negative bacillus, enteron aisle gram negative bacillus, enterobacteriaceae lactobacteriaceae, anerobe, Neisseria/influenzae, Campylobacter, yeast-like fungi, coryneform bacteria, micrococcaceae bacterium, Streptococcaceae bacterium, bacillus and lactobacillus coding identification method, and utilize this method that bacterium is belonged to, plants the equipment of identifying.But coding test subject in this method and combination thereof are to the identification rate height of bacterium; This equipment is the integration apparatus that is made of instruction input, cpu, depositing element, output block and system software, and its depositing element utilizes nonvolatile semiconductor memory storage program and data, and travelling speed is fast, data-storing safety; Output block makes detected result can demonstrate image intuitively.
Description
The invention discloses a kind of bacterial identification authentication method, be non-enteron aisle gram negative bacillus, enteron aisle gram negative bacillus, enterobacteriaceae lactobacteriaceae, anerobe, Neisseria/influenzae, Campylobacter, yeast-like fungi, coryneform bacteria, micrococcaceae bacterium, Streptococcaceae bacterium, bacillus and lactobacillus coding identification method, and utilize this method that bacterium is belonged to, plants the equipment of identifying.
Bacteria Identification is to adopt biology of bacteria proterties testing apparatus to detect the biological character of bacterial strain to be checked, then according to the measurement result of bacterial strain biological character to be checked, the utilization authentication method is determined the process that it belongs to, plants by evaluation apparatus or identification code gopher.At present, the method for Bacteria Identification has bifid identification method and numerical value identification method two big classes.In known bifid identification method, be to analyze one by one according to the measurement result of bacterial strain biological character to be checked to realize belonging to, plant and identify.Because this method only under the prerequisite of last the biological character measurement result that obtains bacterial strain to be checked, could determine analysis path and next biological character and measure project, repetition like this is until drawing expert's conclusion, thereby authentication step is many, the time is long; Because this method is that logic is drawn analytical procedure, thereby can not provide the possibility parameter as a result the time expressing Bacteria Identification.In order to reduce step, shortening time, the foreign scholar proposes numerical value identification methods such as techniques of discriminant analysis, nearest neighbour analysis, Ou Jilideshi distance method, correlation coefficient process, maximum likelihood method in succession, the multinomial biological character measurement result that once obtains bacterial strain to be checked is carried out Synchronization Analysis, and provide the possibility parameter as a result the time expressing Bacteria Identification, wherein use at most, best results be the maximum likelihood identification method.Because maximum likelihood method is the numerical value identification method, and the utilization numerical method often needs the multinomial biological character of bacterial detection, and need encode to test item or detected result, thereby the numerical value identification method is called the coding identification method again when carrying out Bacteria Identification.In coding authentication methods such as known VITEK, ATB, API, Micro-ID, Entertube II, the test subject of its coding is respectively 15～32, because the selection of coding test subject is unreasonable, combined effect is poor, but thereby low to the identification rate of the bacterium of being identified monoid; Because the quantity of coding test subject is many and have part coding test subject in combination the bacterium of being identified monoid not to be had appraisal value, thereby consume many, waste greatly.
In the Bacteria Identification process except that the different authentication method of utilization, also must be by different evaluation apparatus or identification code gopher.At present, to have with the microprocessor be the special-purpose Bacteria Identification instrument of core component and the computer of being supported by the Bacteria Identification software system to the identification apparatus of bacterium.In known special-purpose Bacteria Identification instrument such as VITEK automatic microbe analyser (VITEK company, the U.S.), ATB Bacteria Identification instrument (bio Merieux, company, France) and by the computer of identifying the software system support such as API seek advice from the computer, owing to adopt VITEK, ATB, API coding authentication method that bacterium is identified, thereby have VITEK, ATB, the aforesaid intrinsic deficiency of API coding identification method; Owing to identify that the storage medium of software is hard disk, floppy disk or tape, thereby poor stability, be subject to physical hazard, self structure and big with interface, complex structure, the volume of microprocessor; Owing to do not have the simulation color image of biology of bacteria dress measurement result in the identification apparatus, thereby man-machine interface is not directly perceived, can not provide the prompting or the analysis of setting each other off for operator; Because appraisable bacterium element number is few in the identification apparatus, thereby the scope of Bacteria Identification is narrower; Because it is single that being used to of being provided with in the identification systems tested the pilot system type of biology of bacteria proterties to be checked, thereby use limited; Because the assembly of identification apparatus is many, structure, complex interfaces, thereby volume is big, cost is high, keep in repair and safeguard inconvenient.In known Bacteria Identification coding gopher such as API identification code retrieval handbook, MICRO-ID identification code retrieval handbook etc. and their Bacteria Identification coding retrieval computer, owing to adopt API, MICRO-ID coding identification method that bacterium is identified, thereby have the aforesaid intrinsic deficiency of API, MICRO-ID coding identification method.
The purpose of this invention is to provide a kind of bacterial identification authentication method, be non-enteron aisle gram negative bacillus, enteron aisle gram negative bacillus, enterobacteriaceae lactobacteriaceae, anerobe, Neisseria/influenzae, Campylobacter, yeast-like fungi, coryneform bacteria, micrococcaceae bacterium, Streptococcaceae bacterium, bacillus and lactobacillus coding identification method, and utilize this method that bacterium is belonged to, plants the equipment of identifying.
The object of the present invention is achieved like this: at first according to the biological character of known bacterium, select Bacteria Identification coding test subject with optimum seeking method, thereafter weave into biological digital by the method for scale-of-eight 4-2-1 or 1-2-4, then with biology digital utilization numerical value identification method and by Bacteria Identification equipment, or in Bacteria Identification coding test subject, may test presentation or biological digital according to known bacterium, the Bacteria Identification coding gopher that the precoding of utilization numerical value identification method obtains obtains the expert's conclusion that bacterial strain to be checked belongs to, plants.Identify the bacterium of different monoids, its coding test subject and coding method are:
(1) the coding project of non-enteron aisle gram negative bacillus identification systems is 2-ketone group-gluconate (2KG), 3-hydroxy-benzoic acid salt (3HB), 3-hydroxybutyric acid salt (OBU), citrate (CIT), L-proline(Pro) assimilation test (LPR), Histidine assimilation test (HIS), N-acetyl-D-amino glucose (NAG), glycogen (GLY), maltose (MAL), sucrose (SUC), the close disaccharides of D-(MEL), L-Fucose (FUC), D-glucose (GLU), inositol (INO), 15 tests of N.F,USP MANNITOL (MAN), and coding method is:
(2) the coding project of enteron aisle gram negative bacillus identification systems is oxydase (OXI), the dull and stereotyped growth of maconkey agar (MCK), power (MOT), lysine decarboxylase (LDC), ornithine decarboxylase (ODC), arginine dihydrolase (ADH), indoles generation (IND), urease (URE), citrate utilization (CIT), glucose oxidase (GLO), mannose ferment (MAN), sucrose fermentation (SUC), rhamnosyl fermentation (RHA), amygdaloside fermentation (AMY), sorbitol fermentation (SOR) test, and coding method is:
(3) the coding project of enterobacteriaceae lactobacteriaceae identification systems is lysine decarboxylase (LDC), ornithine decarboxylase (ODC), malonate utilization (MAU), urease (URE), cellobiose fermentation (CEL), sorbitol fermentation (SOR), pectinose fermentation (LAR), Pentitol fermentation (ADO), sucrose fermentation (SUC), galactitol fermentation (DUL), Alpha-Methyl-glucoside fermentation (AMG), mannose ferment (MAN), and coding method is:
(4) the coding project of anerobe identification systems is that gramstaining (GRS), brood cell form (SPO), alpha-glucosidase (AGL), alpha-galactosidase (AGA), α-arabinofuranosidase/xylosidase (AAR), beta-glucosidase (BGL), beta-galactosidase enzymes (BGA), beta-glucuronidase enzyme (BGU), leucine arylamine enzyme (LAA), proline(Pro) arylamine enzyme (PRA), alkaline phosphatase (ALP), indoles generation matter (IND), seminose fermentation (MAS), N-acetyl-β-amino grape enzyme (NAG) of D-, and coding method is:
(5) the coding project of Neisseria/hemophilus identification systems is catalase (CAT), the growth of Martin's agar (MTM), glucose fermentation (GLU), maltose fermentation (MLT), beta-glucosidase (BGL), phosphenylic acid salt (OPS), glycine arylamine enzyme (GLY), r-glutamy arylamine enzyme (GGT), proline(Pro) arylamine enzyme (PRO), the reddish black reduction of resin (RES), and coding method is:
(6) the coding project of Campylobacter identification systems is catalase (CAT), nitrate reduction (NIT), urease (URE), succinate assimilation (SUT), acetate assimilation (ACE), hippurate hydrolysis (HIP), hydrogen sulfide generation (HYS), r-glutamyl transferring enzyme (GGT), alkaline phosphatase (ALP), and coding method is:
(7) the coding project of yeast-like fungi identification systems is 2-ketone group-glucose (2KG), cycloheximide (ACT), tetrahydroxybutane (ERY), N.F,USP MANNITOL (MAN), inositol (INO), N-acetyl-D-amino glucose (NAG), L-arabinose (LAR), semi-lactosi (GAL), raffinose (RAF), cellobiose (CEL), lactose (LAC), maltose (MAL), close disaccharides (MEL), trehalose (TRE), Vitamin C2 (ESC), and coding method is:
(8) the coding project of coryneform bacteria identification systems is nitrate reduction (NIT), urease (URE), Vitamin C2 hydrolysis (ESC), maltose fermentation (MAL), sucrose fermentation (SUC), ribose fermentation (RIB), lactose fermentation (LAC), alpha-glucosidase (AGL), beta-galactosidase enzymes (BGA), and coding method is:
(9) the coding project of micrococcaceae Bacteria Identification system is urease (URE), nitrate reduction (NIT), the generation of 3-oxobutanol (V-P), arginine dihydrolase (ADH), ornithine decarboxylase (ODC), alkaline phosphatase (ALP), beta-galactosidase enzymes (BGA), beta-glucuronidase enzyme (BGU), glucose fermentation (GLF), sucrose fermentation (SUC), mannose ferment (MAN), trehalose fermentation (TRE), and coding method is:
(10) the coding project of Streptococcaceae Bacteria Identification system is that hemolytic (HEM), 3-oxobutanol produce (V-P), hippurate hydrolysis (HIP), arginine dihydrolase (ADH), alpha-aminoisocaproic acid arylamine enzyme (LAA), GRD beta-glucuronidase (BGU), beta-galactosidase enzymes (BGA), ribose fermentation (RIB), raffinose fermentation (RAF), sorbitol fermentation (SOR), pectinose fermentation (LAR), trehalose fermentation (TRE), lactose fermentation (LAC), and coding method is:
(11) the coding project of bacillus identification systems is arginine dihydrolase (ADH), urease (URE), citrate utilization (CIT), beta-glucosidase (BGL), starch hydrolysis (AMD), L-arabinose fermentation (LAR), ribose fermentation (RIB), sorbitol fermentation (SOR), the fermentation of D-tagatose (DTA), N-acetylglucosamine (NAG), fructose fermentation (FRU), seminose fermentation (MAS), semi-lactosi fermentation (GAL), gentiobiose fermentation (GEN), Alpha-Methyl-D-seminose (MDM), and coding method is:
(12) the coding project of lactobacillus identification systems is Resorcinol heteroside fermentation (ARB), ribose fermentation (RIB), N-acetylglucosamine (NAG), D-wood-sugar fermentation (DXY), trehalose fermentation (TRE), sorbitol fermentation (SOR), sucrose fermentation (SUC), lactose fermentation (LAC), cellobiose fermentation (CEL), close two sugar-fermentings (MEL), L-arabinose fermentation (LAR), rhamnosyl fermentation (RHA), the fermentation of D-tagatose (DTA), gluconate utilization (GNT), starch hydrolysis (AMD), and coding method is:
Above-mentioned Bacteria Identification device is the integrated apparatus that input block, processing element, depositing element, output block and system software are formed.Wherein input block is made up of key face, keyboard circuit and interface thereof, the key face be 0～9 10 numerical key, A～26 letter keys of Z meter, ▲,
, ←, → ,+,-, 10 symbolic keys of CR, ES meter amount to 46 key positions.Processing element is 80286,80386,80486 microprocessor and corresponding softwares.Depositing element is the nonvolatile semiconductor memory, and computer software and data-storing are on this non-easy real property lost semi-conductor storage.The non-easy real property semi-conductor storage that loses is any in film memory, programable read only memory, erasable programmable read-only memory or the electrically erasable read-only memory.Output block is color monitor and printer.Software is by identifying, add up, learn, helping four big systems to form.Wherein identification systems adopt this coding identification method as method for determining bacteria, can amount to 668 evaluation unit to pathogenic bacterium, conditioned pathogen or the opportunistic pathogen of 12 common clinically big monoids identifies, and can be with in the bacterial strain drug sensitivity was examined parameter to be checked input identification systems, by system be converted into the susceptibility result and according to operator's needs to Bacteria Identification result and drug sensitivity was examined result storage and print complete report; In carrying out the Bacteria Identification process, if a certain biological number or identification code have several approximate expert's conclusions, identification systems can provide directly and replenish two kinds of evaluation modes, directly identify promptly and directly make the expert's conclusion that bacterium belongs to, plants according to the evaluation value and the standard likelihood value of bacterial strain to be checked, replenish and to identify promptly to provide for bacterial strain to be checked under the prerequisite of effectively replenishing the qualification test project and carry out Bacteria Identification, until drawing the expert's conclusion that bacterium to be checked belongs to, plants at identification systems.Learning system in the system software can be learnt bacterial expression, the criteria for interpretation of bacterial antibiotic sensitivity level and the using method of common antibiotics of respectively identifying unitary test presentation, test presentation in the identification systems.Help system in the system software, can help the operator to fully understand every function and the using method and the requirement of identification apparatus, and can be the operator bacterial strain biological character test event to be checked selected by the operator and the colored simulated image of combination thereof are provided, to help the correct judgment experiment result of user.Statistical system in the system software, can be to the Bacteria Identification result of user's storage, the drug sensitivity was examined result, patient's data etc. is analyzed, have the total recall rate of various bacteriums in the analytic statistics, the various bacterium recall rates of different specimens, the various bacterium recall rates of different ages, the various bacterium recall rates of Various Seasonal, detect the source distribution that comes of bacterium, detect the age structure of bacterium, detect the season distribution of bacterium, the total resistant rate of various bacteriums, different specimens detects the bacterial resistance rate, different ages detects the bacterial resistance rate, Various Seasonal detects the bacterial resistance rate, Resistant strain come source distribution, the age structure of Resistant strain, the season distribution of Resistant strain amounts to 14, and printable output analytical results.
Above-mentioned Bacteria Identification coding gopher, be in this coding identification method test subject combination, may test presentation or biological digital according to known bacterium, the confession that the precoding of utilization numerical method obtains determines that bacterial strain to be checked belongs to, plants the Bacteria Identification coding gopher of expert's conclusion, it can be an identification code retrieval handbook print, also can be computer code's retrieval system or computer for analysis system.Bacteria Identification coding gopher is divided into 12 identification systems according to the difference of tested bacterium living beings monoid:
(1) non-enteron aisle gram negative bacillus identification code retrieval system;
(2) enteron aisle gram negative bacillus identification code retrieval system;
(3) enterobacteriaceae lactobacteriaceae identification code retrieval system;
(4) anerobe identification code retrieval system;
(5) Neisseria/influenzae identification code retrieval system;
(6) Campylobacter identification code retrieval system;
(7) yeast-like fungi identification code retrieval system;
(8) coryneform bacteria identification code retrieval system;
(9) micrococcaceae Bacteria Identification coding retrieval system;
(10) Streptococcaceae Bacteria Identification coding retrieval system;
(11) bacillus identification code retrieval system;
(12) lactobacillus identification code retrieval system.
The coding test subject and the coding method of its biological number or identification code, identical with the coding test subject and the coding method of aforementioned different monoid Bacteria Identification system.When using Bacteria Identification coding gopher to retrieve bacterial strain genus to be checked, kind expert's conclusion, if a certain biological number or identification code have several approximate expert's conclusions, then Bacteria Identification coding retrieval system will be for confirming that further identification of strains conclusion to be checked provides effective supplementary test project.
Use this coding identification method and evaluation apparatus or identification code gopher, but be identify unit number and the identification rate of 12 big monoid bacteriums:
(1) non-enteron aisle gram negative bacillus identification systems: identify 104 of unit, but identification rate is 94.9775%;
(2) enteron aisle gram negative bacillus identification systems: identify 108 of unit, but identification rate is 95.6386%;
(3) enterobacteriaceae lactobacteriaceae identification systems: identify 97 of unit, but identification rate is 97.6804%;
(4) anerobe identification systems: identify 80 of unit, but identification rate is 97.2151%;
(5) Neisseria/influenzae identification systems: identify 30 of unit, but identification rate is 95.6321%;
(6) Campylobacter identification systems: identify 18 of unit, but identification rate is 77.1241%;
(7) yeast-like fungi identification systems: identify 80 of unit, but identification rate is 95.3917%;
(8) coryneform bacteria identification systems: identify 33 of unit, but identification rate is 96.4015%;
(9) micrococcaceae Bacteria Identification system: identify 35 of unit, but identification rate is 96.9747%;
(10) Streptococcaceae Bacteria Identification system: identify 47 of unit, but identification rate is 95.7446%;
(11) bacillus identification systems: identify 24 of unit, but identification rate is 81.8840%;
(12) lactobacillus identification systems: identify 29 of unit, but identification rate is 86.6995%.
The present invention is owing to adopt the afore-mentioned test projects combo in the coding identification method, thereby each test subject in the combination all has appraisal value, but and to the identification rate height of each monoid bacterium; Because the test subject quantity in the combination is few and combination in each coding test subject appraisal value is all arranged, thereby consume fewly, do not have waste.
Because the structure of each parts of this evaluation apparatus is integrated, thereby the structure of equipment, interface are simple, and volume is little, install and debugging convenient, safeguard and maintainability good; Since the key face of input block is 0～9 10 numerical key, A～Z count 26 letter keys, ▲,
, ←, → ,+,-, 10 symbolic keys of CR, ES meter amount to 46 key positions, thereby input operation is convenient; Because the storage medium of software system is the nonvolatile semiconductor memory, thereby structure, interface is simple, volume is little, degree of reliability is high, and stability and maintainability are good; Because output block is color monitor and printer, thereby the man-machine interface effect is strong, and can be according to customer requirements selective printing required information.
Because the identification systems in this device system software have 12 to identify subsystem, thereby the evaluation scope is wide, can identify common clinically pathogenic bacterium, conditioned pathogen and the opportunistic pathogen of 668 kinds of 12 big monoids totals; Because identification systems have directly and replenish two kinds of evaluation modes, thereby in carrying out the Bacteria Identification process,, can select and draw expert's conclusion accurately as required if when a certain biological number or identification code have several approximate expert's conclusion; Because the converting system of being furnished with the quick property of bacteria antibiotic location parameter in the identification systems, thereby when the operator finishes Bacteria Identification and drug sensitivity was examined, can be with drug sensitivity was examined parameter input system, after system obtains parameter, promptly convert thereof into sensitivity level and the minimum inhibitory concentration scope of microbiotic automatically to this bacterium; Because identification systems have storage and function of reporting, thereby can detect the storage of data and the report of detected result according to operator's selection, and can when reporting, the result control to help clinical bacterium is executed for the report reader provides clinical medicine to learn information; Owing in the system software learning system is arranged, thereby can learn, and can identify that unitary biological character analyzes in twos to each to identifying bacterial expression, drug sensitivity was examined result's criteria for interpretation and the using method of common antibiotics that respectively identify unit biological character, test presentation in the realm; Because helpful system in the system software, thereby can help the operator to understand, learn and grasp operations, function, selection and the effect of device; Owing in the system software statistical system is arranged, thereby can carry out every statistics and analysis to the detection data of storing; Owing to all dispose the color picture of experimental result in study, help and the identification systems in the system software, thereby can help the operator to learn or grasp the judging criterion and the determination methods of various experimental results.
Because this identification code gopher is in adopting aforesaid test subject combination, thereby each the coding test subject in the combination all has appraisal value, but and to the identification rate height of each monoid bacterium; Because the test subject quantity in the combination is few and combination in each coding test subject appraisal value is all arranged, thereby consume fewly, do not have waste; Because the identification code gopher has directly and additional two kinds of evaluation modes, thereby in carrying out the Bacteria Identification process, if when a certain biological digital, identification code or one group of biological character parameter have several approximate expert's conclusion, can select and draw Bacteria Identification conclusion accurately as required;
Describe the structure and the embodiment of the Bacteria Identification equipment that proposes according to the present invention in detail below in conjunction with Figure of description.
Embodiment
One, Bacteria Identification apparatus embodiments (Fig. 1):
With the key face of (1) input block (0～9 10 numerical key, A～26 letter keys of Z meter, ▲,
←, →, +,-, CR, 10 symbolic keys of ES meter amount to 46 key positions), keyboard pcb and interface thereof and wiring, (2) 80386 microprocessors of processing element and interface and wiring, (3) the fast erasable memory of depositing element and hard disk and interface and wiring, (4) chromoscope of output block and circuit card thereof, interface and wiring and spray ink Printing movement and circuit card thereof, interface and wiring interconnect, be installed in the instrument container of (5) charged source and power control switch, and (6) system software is read on the fast erasable memory of (3) depositing element, be incorporate Bacteria Identification device (seeing Figure of description 1).Wherein the flow sheet of system software is seen Figure of description 2.
Two, Bacteria Identification coding gopher embodiment:
(1) according to Bacteria Identification coding test subject and the biological digital coding method narrated in the specification sheets, the utilization numerical method is carried out precoding processing to all biological numbers of each system, and the precoding processing result made print, promptly obtain Bacteria Identification coding retrieval handbook.
(2) according to Bacteria Identification coding test subject and the biological digital coding method narrated in the specification sheets, the utilization numerical method is carried out precoding processing to all biological numbers of each system, and with the precoding processing result storage in the floppy disk or hard disk of computer, promptly obtain Bacteria Identification coding computer retrieval system.
(3) according to Bacteria Identification coding test subject and the biological digital coding method narrated in the specification sheets, the utilization numerical method is write out computer program, promptly obtains Bacteria Identification coding computer retrieval system.
(4) according to Bacteria Identification coding test subject and the biological digital coding method narrated in the specification sheets, utilization numerical method method is write out computer program, promptly obtains Bacteria Identification computer for analysis system.
Three, bacterial identification authentication method embodiment:
1, non-enteron aisle gram negative bacillus coding identification method embodiment:
Coding qualification test project
1 2KG (28) 2-Keto-Gluconate 2-ketone group-gluconate assimilation test
assimilation
2 3HB (27) 3-Hydroxy-Benzoate 3-hydroxy-benzoic acid salt assimilation test
assimilation
3 OBU (29) 3-hydrOxy-BUtyrate 3-hydroxybutyric acid salt assimilation test
assimilation
4 CIT (23) CITrate assimilation citrate assimilation test
5 LPR (32) L-PRoline assimilation L-proline(Pro) assimilation test
6 HIS (24) HIStidine assimilation Histidine assimilation test
7 NAG (2) N-Aoetyl-d-Glucosamine N-acetyl-D-amino glucose
Assimilation assimilates test
8 GLY (26) GLYcogen assimilation glycogen assimilation test
9 MAL (6) MALtose assimilation Fructus Hordei Germinatus sugar assimilation test
10 SUC (5) SUCrose assimilation sucrose assimilation test
The close disaccharides assimilation of 11 MEL (16) d-MELibiose assimilation D-test
12 FUC (17) l-FUCose assimilation L-Fucose assimilation test
13 GLU (14) d-GLUcose assimilation D-grape sugar assimilation test
14 INO (4) INOsitol assimilation inositol assimilation test
15 MAN (13) MANnitol assimilation N.F,USP MANNITOL assimilation test
The supplementary test project
16 RHA (1) RHAmnose assimilation sandlwood sugar assimilation test
17 RIB (3) d-RIBose assimilation D-ribose assimilation test
18 ITA (7) ITAconate assimilation methene succinic acid salt assimilation test
19 SUB (8) SUBerate assimilation suberate assimilation test
20 MNT (9) MaloNaTe assimilation malonate assimilation test
21 ACE (10) ACEtate assimilation acetate assimilation test
22 LAT (11) dl-LAcTate assimilation lactic acid salt assimilation test
23 LAL (12) L-ALanine assimilation L-L-Ala assimilation test
24 SAL (15) SALicin assimilation saligenin assimilation test
25 SOR (18) d-SORbitol assimilation D-sorbyl alcohol assimilation test
The Arabic sugar assimilation test of 26 LAR (19) L-ARabinose assimilation
27 PRO (20) PROpionate assimilation propionic salt assimilation test
28 CAP (21) CAPrate assimilation caprate assimilation test
29 VAL (22) VALeraTe assimilation valerate assimilation test
30 5KG (25) 5-Keto-Gluconate 5-ketone group-gluconate assimilation test
assimilation
31 4HB (30) 4-HydrOxy-Benzoate 4-hydroxy-benzoic acid salt assimilation test
assimilation
32 LSE (31) L-SErine assimilation L-Serine assimilation test
2, enteron aisle gram negative bacillus coding identification method embodiment:
Coding qualification test project
1* OXI (21) OXIdase oxidase test
The dull and stereotyped growth test of 2* MCK (25) growth in MCK agar maconkey agar
3* MOT (24) MOTility power trial
The test of 4 LDC (3) Lysine DeCarboxylase lysine decarboxylase
The test of 5 ODC (4) Ornithint DeCarboxylase ornithine decarboxylase
The test of 6 ADH (2) Arginine DiHydrolase arginine dihydrolase
7 IND (9) INDole production indoles produces test
8 URE (7) UREase urease test
9 CIT (5) CITrate utilization Chinese holly olive hydrochlorate utilization test
The test of 10 GLO (26) GLucose Oxidation glucose oxidase
The test of 11 MAN (13) MANnitol fermentation mannose ferment
The fermentation test of 12 SUC (17) SUCrose fermetation sucrose
The fermentation test of 13 RHA (16) RHAmnose fermentation rhamnosyl
The fermentation test of 14 AMY (19) AMYgdalin fermentattion amygdaloside
The test of 15 SOR (15) SORbitol fermentation sorbitol fermentation
The supplementary test project
16 BGA (1) β-GAlactosidase beta-galactosidase enzymes test
17 NIT (2) reduction of NITrate nitrate reduction test
18 HYS (6) HYdrogen Sulfide production hydrogen sulfide produces test
The test of 19 TDA (8) Tryptophane DesAminase tryptophane desaminase
20 HYB (10) 3-HYdroxy-2-Butanone production 3-hydroxyl-2-butanone produces test
The test of 21 GEL (11) GELatin gelatinase
The test of 22 GLU (12) GLUcose Fermentation breakdown of glucose
The fermentation test of 23 INO (14) INOsitol fermentarion inositol
Close two sugar fermentating tests of 24 MEL (18) MELibiosee fermentation
The fermentation test of 25 ARA (20) ARAbinose fermeeentation pectinose
The test of 26 NIG (23) NItrogen Gas production nitrogen gas generation
The test of 27 GLF (27) GLucose Fermenttation glucose fermentation
3, enterobacteriaceae lactobacteriaceae coding identification method embodiment:
Coding qualification test project
The test of 1 LDC (8) LYsine DeCarboxylase lysine decarboxylase
The test of 2 ODC (10) Ornitine DeCarbxylase ornithine decarboxylase
3 MAU (14) MAlonate Utilization malonate utilization test
4 URE (6) UREase urease test
The fermentation test of 5 CEL (31) CELlobiose fermentation cellobiose
The test of 6 SOR (24) D-SORbitol fermentation sorbitol fermentation
The fermentation test of 7 LAR (25) L-ARabinose fermentation pectinose
The fermentation test of 8 ADO (22) ADOnitol fermentation Pentitol
The fermentation test of 9 SUC (18) SUCrose fermentation sucrose
The fermentation test of 10 DUL (20) DULcitol fermentation galactitol
11 AMG (32) Alpha-Methyl-D-Glucoside Alpha-Methyl-glucoside
The fermentation fermentation test
The test of 12 MAN (19) D-MANnitol fermentation mannose ferment
The supplementary test project
13 IND (1) INDole production indoles produces test
14 MER (2) MERhyl red methyl red produces test
15 HYB (3) 3-HYdroxy-2-Butanone production 3-hydroxyl-2-butanone produces test
16 CIT (4) CITrate (Simons') Chinese holly olive hydrochlorate utilization test
17 HYS (5) HYdrogen Sulfide (TSI) hydrogen sulfide produces test
The test of 18 PHE (7) PHEnylalanine deaminase phenylalanine deaminase
The test of 19 ADH (9) Arginine DiHydrolase arginine dihydrolase
20 MOT (11) MOTility power trial
The test of 21 GEL (12) GELatin hydrolysis gelatinase
22 KCN (13) growth in KCN potassium cyanide growth test
23 GLU (15) D-GLUcose, acid glucose fermentation produce the acid test
24 GLG (16) D-GLucose, the test of Gas glucose fermentation aerogenesis body
25 LAC (17) LACtose fermentation lactose-fermentation test
The fermentation test of 26 SAL (21) SALicin fermentation saligenin
The fermentation test of 27 INO (23) myo-INOsitol fermentation inositol
The fermentation test of 28 RAF (26) L-RAFfinose fementation raffinose
The fermentation test of 29 RHA (27) L-RHAmnose fermentation rhamnosyl
The fermentation test of 30 MAL (28) MALtose fermentation maltose
31 DXY (29) D-XYlose fermentation wood-sugar fermentation test
The fermentation test of 32 TRE (30) TREhalose fermentation trehalose
The pure fermentation test of the red aquatic foods of 33 ERY (33) ERYthitol fermentation
34 ESC (34) ESCulin hydrolysis Vitamin C2 hydrolysis experiment
Close two sugar fermentating tests of 35 MEL (35) MELibiose fermentation
The fermentation test of 36 ART (36) D-ARabiTol fermentation pectinose
The test of 37 GLY (37) GLYcerol fermentation glycerol fermentation
38 MUC (38) MUCate fermentation glues sugar fermentating test
39 TAR (39) TARtrate, Jordan's tartrate utilization test
40 ACE (40) ACEtate utilization acetate utilization test
41 LIP (41) LIPase (corn oil) esterase test (Semen Maydis oil)
42 DNA (42) DNAse deoxyribonuclease test
43 NIT (43) reduction of NITrate nitrate reduction test
44 OXI (44) OXIdase, the kovuc's oxidase test
45 BGA (45) β-GAlactosidase beta galactosidase enzyme test
46 YEL (46) YELlow pigment yellow pigment produces test
The fermentation test of 47 MAS (47) D-MAnnoSe fermentation seminose
4, anerobe coding identification method embodiment:
Coding qualification test project
1 GRS (31) GRam Stain gramstaining
2 SPO (33) SPOrulation brood cell forms
3 AGL (6) α-GLUcosidase alpha-glucosaccharase enzyme test
The enzyme test of 4 AGA (3) α GALactosidase alpha galactosides
5 AAR (8) α-ARabinosidase α-Arabinoside enzyme test
6 BGL (7) β-GLucosidase beta-glucoside enzyme test
The test of 7 BGA (4) β GAlactosoidase beta-galactosidase enzymes
8 BGU (9) β-GlucUronidase beta-glucuronidase enzyme test
The enzyme test of 9 LAA (20) Leucine ArylAmidase leucine arylamine
The enzyme test of 10 PRA (17) PRoline Arylamidase proline(Pro) arylamine
The test of 11 ALP (15) ALkaline Phosphatase alkaline phosphatase
12 IND (14) INDoole production indoles produces the matter test
The fermentation test of 13 MAS (11) MAnnoSe fermentation seminose
14 NAG (10) β-N-Acetyl-Glucosaminidase N-acetyl-test
The supplementary test project
15 URE (1) UREase urease test
The test of 16 ADH (2) Arginine DiHydrolase arginine dihydrolase
17 BGP (5) β-Galactosidase-B-Phosphate beta-galactosidase enzymes-8-phosphoric acid test
The fermentation test of 18 RAF (12) RAFfinose fermentation raffinose
19 NIT (13) reductioon of NITrate nitrate reduction test
The enzyme test of 20 AAA (16) Arginine ArylAmidase arginine arylamine
The enzyme test of 21 LGA (18) Leucyl Glycine Arylamidase leucylglycine arylamine
The enzyme test of 22 PAA (19) Phenylalanine ArylAmidase phenylalanine arylamine
The enzyme test of 23 PYA (21) PYroglutamic ac.Arylamidase Pyrrolidonecarboxylic acid arylamine
The enzyme test of 24 TAA (22) Tyrosine ArylAmidase tyrosine virtue ammonia
The enzyme test of 25 ALA (23) ALanine Arylamidase L-Ala arylamine
The enzyme test of 26 GAA (24) Glycine ArylAmidase glycine arylamine
The test of 27 GAD (25) Glutamic Ac.Decarboxylase L-Glutamic decarboxylase
28 AFU (26) α-FUcosidase fucoside enzyme test
29 CTR (27) ConTRol contrast
The enzyme test of 30 HAA (28) Histidine ArylAmidase Histidine arylamine
The enzyme test of 31 GGA (29) GLutamyl GLutamic ac. glutamy Pyrrolidonecarboxylic acid arylamine
Arylamidase
The enzyme test of 32 SAA (30) Serine ArylAmidase Serine arylamine
33 MOR (33) MORphology morphology
5, Neisseriaceae hemophilus coding identification method embodiment:
The coding test subject
1* CAT (17) CATalase catalase test
2 MTM (18) Martin-Thayer Medium Martin agar growth test
The test of 3 GLU (9) GLUcose glucose fermentation
The fermentation test of 4 MLT (11) MaLTose fermentation maltose
The test of 5 BGA (7) β GAlactosoidase beta-galactosidase enzymes
6 OPS (2) PhenylphoSphonate phosphenylic acid salt test
The test of 7 GLY (5) GLYcine-p-nitroanilide glycine desaminase
8 GGT (4) Gamma-Glutamyl-p-niTroanilide r-glutamy-p-oil of mirbane test
9 PRO (3) PROline-p-nitroanilide proline(Pro)-P-oil of mirbane test
The reddish black test of 10 RES (13) RESazurin resin
The supplementary test project
The test of 11 ALA (1) ALanine-penitroanilide L-Ala oil of mirbane
The sulfur test of 12 LYS (6) LYSine-p-nitroanilide Methionin phosphatidyl courage
The test of 13 PNC (8) P-Nitrophenyl-phosphoryl-Cholinr triphenyl tetramine azoles
The fermentation test of 14 SUC (10) SUCrose fermentation sucrose
15 TTZ (12) Triphenyltetrazolium TTZ test
The test of 16 ORN (14) ORNithine decarboxylase ornithine decarboxylase
17 URE (15) UREase urease test
The sensitization test of 18 PEN (16) PENicillin G sensibility penicillin
6, campylobacter coding identification method embodiment:
The coding test subject
1 CAT (21) CATalase catalase test
2 NIT (2) reduction of NITrate nitrate reduction test
3 URE (1) UREase urease test
4 SUT (13) SUccinaTe assimilation succinate assimilation test
5 ACE (16) ACEtate assimilation acetate assimilation test
6 HIP (4) HIPpurate hydrolysis hippurate hydrolysis experiment
7 HYS (11) HYdrogen Sulfide prodnction hydrogen sulfide produces test
8 GGT (5) Gama GLutamyl Transferase r-glutamyl transferring enzyme
The test of 9 ALP (10) ALkailne Phosphatase alkaline phosphatase
The supplementary test project
The test of 10 EST (3) ESTerase esterase
11 TTC (6) reduction Chlorure Triphenyl TTC test
Transferase
The enzyme test of 12 PYR (7) PYRrolidonyl arylamidase pyrrolidyl arylamine
The enzyme test of 13 ARY (8) 1-ARYinine arylamidase arginine arylamine
The enzyme test of 14 ASP (9) 1-ASPartate arylamidase aspartic acid arylamine
15 GLU (12) GLUcose assimilation grape sugar assimilation test
How pyridine ketone acid sensitization test of 16 NAL (14) NALidixique sensibility
The sensitization test of CeFaZoline sensibility born of the same parents' azoles quinoline of 17 CFZ (15)
18 PRO (17) PROpinate assimilation propionic salt assimilation test
19 MLT (18) MaLaTe assimilation malate assimilation test
20 CIT (19) CITrate assimlation Chinese holly
Hydrochlorate assimilation test
The test of 21 ERS (20) ERythomycine Sensibilite erythromycin-sensitive
7, yeast-like fungi coding identification method embodiment:
The coding test subject
1 2KG (11) 2-Keto-Gluconate assimilation2-ketone group-grape sugar assimilation test
2 ACT (2) ACTidione assimilation cycloheximide assimilation test
3 ERY (19) ERYthritol assimilation tetrahydroxybutane assimilation test
4 MAN (25) MANnitol assimilation N.F,USP MANNITOL assimilation test
5 INO (27) INOsitol assimilation inositol assimilation test
6 NAG (4) N-Acetnyl-Glucosamine N-acetyl-D-amino glucose
Assimilation assimilates test
7 LAR (6) L-ARabinose assimilation L-arabinose assimilation test
8 GAL (1) GALactose assimilation gala sugar assimilation test
9 RAF (8) RAFfinoose assimilation cotton seed sugar assimilation test
10 CEL (7) CELlobose assimilation cellobiose assimilation test
11 LAC (26) LACtose assimilation lactose assimilation test
12 MAL (9) MALtose assimilation Fructus Hordei Germinatus sugar assimilation test
The close disaccharides assimilation of 13 MEL (20) MELibiose assimilation test
14 TRE (10) TREhalose assimilation marine alga sugar assimilation test
15 ESC (31) ESCulin assimilation Vitamin C2 assimilation test
The supplementary test project
16 SUC (3) SUCrose assimilation sucrose assimilation test
17 LAT (5) DL-LAcTate assimilation lactic acid salt assimilation test
18 MDG (12) α-Methyl-D-Glucoside Alpha-Methyl-D-glucoside
Assimilation assimilates test
19 SOR (13) SORbitol assimilation sorbyl alcohol assimilation test
20 DXY (14) D-XYloose assimilation wood sugar assimilation test
21 RIB (15) RIBose assimilation ribose assimilation test
22 GLY (16) GLYcerl asssimilation glycerine assimilation test
23 RHA (17) RHAmnose assimilation sandlwood sugar assimilation test
24 PLE (18) PaLatinosE assimilation PaLatinosE assimilates test
25 MLZ (22) MeLeZitose assimilation melizitose assimilation test
26 GRT (21) GlucuRonaTe assimilation glucuronic acid assimilation test
27 GNT (23) GlucoNaTe assimilation gluconate assimilation test
28 LVT (24) LeVullinaTe assimilation levulinate assimilation test
29 GLU (28) GLUcose assimilation grape sugar assimilation test
30 SBE (29) SorBosE assimilation sorb sugar assimilation test
31 GLN (30) GLucosamiNe assimilation glucosamine assimilation test
8, corynebacterium coding identification method embodiment:
The coding test subject
1 NIT (1) reduction of NITrate nitrate reduction test
2 URE (10) UREase urease test
3 ESC (9) ESCulin Vitamin C2 hydrolysis experiment
The fermentation test of 4 MAL (17) 1-MALtose fermentation maltose
The fermentation test of 5 SAC (19) SUCroe fermentatation sucrose
The fermentation test of 6 RIB (14) RIBose fermentation ribose
7 LAC (18) LACtoose fermentation lactose-fermentation test
8 AGL (7) α-GLucoosidase alpha-glucosaccharase enzyme test
9 BGA (6) β-GAlactosidase beta-galactosidase enzymes test
The supplementary test project
The test of 10 PYZ (2) PYraZinamidase pyrazine desaminase
The enzyme test of 11 PYR (3) PYRrolidonyl arylamidase pyrrolidyl arylamine
The test of 12 ALP (4) ALkaline Phosphete alkaline phosphatase
13 BGU (5) β-GlucUronidase beta-glucuronidase enzyme test
14 NAG (8) N-Acetyl-β-GLucosamindase N-acetyl-β-D-glucoside enzyme test
The test of 15 GEL (11) GELatine hydrolysis gelatinase
16 CTR (12) onTRol contrast
The test of 17 GLF (13) GLucose Fermentation glucose fermentation
18 XYL (15) XYLose fermentation wood-sugar fermentation test
The test of 19 MAN (16) MANitol fermentation mannose ferment
The fermentation test of 20 GLY (20) GLYcogen fermentation glycogen
21 CAT (21) CATalase catalase test
9, micrococcaceae bacterial identification identification method embodiment:
The coding test subject
1 URE (1) UREase urease test
2 NIT (13) reduction of NITates nitrate reduction test
3 V-P (14) acetoin Production 3-oxobutanol produces test
The test of 4 ADH (2) Arginine DiHydrolase arginine dihydrolase
The test of 5 ODC (3) Ornithine DeCarboxylase ornithine decarboxylase
The test of 6 ALP (17) ALkaline Phosphatase alkaline phosphatase
7 BGA (15) β-GAlactosidation beta-galactosidase enzymes test
8 BGU (24) β-GlucUronidase beta-glucuronidase enzyme test
The test of 9 GLF (5) GLucose Fermentation glucose fermentation
The fermentation test of 10 SUC (20) SUCrose fermrntation sucrose
The test of 11 MAN (11) MANnitol fermentation mannose ferment
The fermentation test of 12 TRE (10) TREhalose fermentation trehalose
The supplementary test project
13 ESC (4) ESCulin hydrolysis Vitamin C2 hydrolysis experiment
The fermentation test of 14 FRU (6) FRUctose fermentation fructose
The fermentation test of 15 MAS (7) MAnnoSe fermentation seminose
The fermentation test of 16 MAL (8) MALtose fermentation maltose
17 LAC (9) LACtose fermentation lactose-fermentation test
The fermentation test of 18 RAF (12) RAFfinose fermetaion raffinose
The enzyme test of 19 ARG (16) ARGinie argiamidase arginine spermine
The enzyme test of 20 PYR (18) PYRrolidonyl arylamidase pyrrolidyl arylamine
21 NOV (19) NOVobiocin (Resistance) Vulkamycin. PA-93s (resistance) test
22 NAG (21) N-Acetyl-GLUcosamine N-acetyl-glucosamine
The Fermentation fermentation test
The fermentation test of 23 TUR (22) TURanose fermentation turanose
The fermentation test of 24 ARA (23) ARAbinose fermentation pectinose
The fermentation test of 25 RIB (25) RIBose fermentation ribose
The fermentation test of 26 CEL (26) CELlubiose fermentation cellobiose
10, the Streptococcaceae bacterial identification is identified embodiment:
The coding test subject
1 HEM (21) hemolytic
2 V-P (1) aceton production 3-oxobutanol produces test
3 HIP (2) HIPpurate hydrolysis hippurate hydrolysis experiment
The test of 4 ADH (10) Arginine DiHydrolase arginine dihydrolase
5 LAA (9) α-Leucine ArylAmidase alpha-aminoisocaproic acid arylamine enzyme test
6 BGU (6) β-GLuoUronidase GRD beta-glucuronidase test
7 BGA (7) β-GAlactosidase beta-galactosidase enzymes test
The fermentation test of 8 RIB (11) RIBose fermentaion ribose
The fermentation test of 9 RAF (18) RAFfinose fermentation raffinose
The test of 10 SOR (14) SORbitol fermentayion sorbitol fermentation
The fermentation test of 11 LRA (12) L-ARabinose fermentation pectinose
The fermentation test of 12 TRE (16) TREhalose fermentation trehalose
13 LAC (15) LACtose fermentation lactose-fermentation test
The supplementary test project
14 ESC (3) ESCulin hydrolysis Vitamin C2 hydrolysis experiment
The enzyme test of 15 PYR (4) Pyrrolidonyl arylamidase pyrrolidyl arylamine
16 AGA (5) α-GAlactosidase alpha galactosides enzyme test
The test of 17 ALP (8) ALkalische Phosphatase alkaline phosphatase
The test of 18 MAN (13) MANnitol fermentation mannose ferment
The fermentation test of 19 INU (17) INUlin fermentation synanthrin
The test of 20 AMD (19) starch fermentation amylofermentation
The fermentation test of 21 GLY (20) GLYcoGen fermentation glycogen
11, the Bacillus coding is identified embodiment:
The coding test subject
The test of 1 ADH (52) Arginine DIHydrolase arginine dihydrolase
2 URE (57) Urease urease test
3 CIT (55) CITrate utilization Chinese holly
Hydrochlorate utilization test
4 ONP (51) Ortho-Nitro-Phenyl-galactoside ONPG test
5 AMD (37) Starch starch hydrolysis experiment
The fermentation test of 6 LAR (5) L-ARabircose fermentation L-arabinose
The fermentation test of 7 RIB (6) RIBose fermentation ribose
The test of 8 SOR (20) SORbitol fermentation sorbitol fermentation
The fermentation test of 9 DTA (43) D-TAgatose fermentation D-tagatose
10 NAG (23) N-Acetyl-Glucoseamine N-acetylglucosamine
The fermentation fermentation test
The fermentation test of 11 FRU (13) FRUctose fermentation fructose
The fermentation test of 12 MAS (14) MAnnoSe fermentation seminose
The fermentation test of 13 GAL (11) GALactose fermentation semi-lactosi
The fermentation test of 14 GEN (40) GENtiobiose fermentation gentiobiose
15 MDM (21) α-Methyl-D-Mannoside Alpha-Methyl-D-seminose
The fermentation fermentation test
The supplementary test project
16 CTR (1) ConTRol contrast
The test of 17 GLY (2) GLYcerol fermentation glycerol fermentation
The pure fermentation test of the red aquatic foods of 18 ERY (3) ERYthritol fermentation
19 DAR (4) D-ARabinose fermentation D-pectinose
20 DXY (7) D-XYlose fermentation D-wood-sugar fermentation test
21 LXY (8) L-XYlose fermentation L-wood-sugar fermentation test
The fermentation test of 22 ADO (9) ADOnitol fermentation Pentitol
23 MDX (10) β-Methyl-D-Xyloside Beta-methyl-D-xyloside
The fermentation fermentation test
The test of 24 GLF (12) GLucose Fermentation glucose fermentation
The fermentation test of 25 SOS (15) SOrboSe fermentation sorbose
The fermentation test of 26 RHA (16) RHAmnose fermentation rhamnosyl
The fermentation test of 27 DUL (17) DULcitol fermentation galactitol
The fermentation test of 28 INO (18) INOsitol fermentation inositol
The test of 29 MAN (19) MANnitol fermentation sorbitol fermentation
30 MDM (21) α-Methyl-D-Mannoside Alpha-Methyl-D-seminose
The fermentation fermentation test
31 MDG (22) α-Methyl-D-Glucoside Alpha-Methyl-D-glucose
The fermentation fermentation test
The fermentation test of 32 AMY (24) AMYgdaLine fermentation amygdaloside
33 ARB (25) ARButine fermentation Resorcinol glucoside
Fermentation test
34 ESC (26) ESCuline Vitamin C2 hydrolysis experiment
The fermentation test of 35 SAL (27) SALicine fermentation saligenin
The fermentation test of 36 CEL (28) CELlubiose fermentation cellobiose
The fermentation test of 37 MAL (29) MALtose fermentation maltose
38 LAC (30) LACtose fermentation lactose-fermentation test
Close two sugar fermentating tests of 39 MEL (31) MELibiose fermentation
The fermentation test of 40 SAC (32) SACvharose fermentation sucrose
The fermentation test of 41 TRE (33) TREhalone fermentation trehalose
The fermentation test of 42 INU (34) INUline fermentation synanthrin
The fermentation test of 43 MLZ (35) MeLeZitose fermentation melizitose
The fermentation test of 44 RAF (36) RAFfinose fermentation raffinose
The fermentation test of 45 GLG (38) GLycoGen fermentation glycogen
The test of 46 XLT (39) XyLiTol fermentation xylitol fermentation
The fermentation test of 47 DLY (42) D-LYXose fermentation lyxose
The fermentation test of 48 DFU (44) D-FUcose fermentation D-Fucose
The fermentation test of 49 LFU (45) L-FUcose fermentation L-Fucose
The fermentation test of 50 DAR (46) D-ARabitoL fermentation D-arabitol
The fermentation test of 51 LAR (47) L-ARabitoL fermentation L-arabitol
52 GNT (48) GlucoNaTe gluconic acid salt test
53 2KG (49) 2-Keto-Gluconate 2-ketone-gluconic acid salt test
54 5KG (50) 5-Keto-Gluconate 5-ketone-gluconic acid salt test
The test of 55 LDC (53) Lysine DeCarboxylase lysine decarboxylase
The test of 56 ODC (54) Ornithine DeCarboxylase ornithine decarboxylase
57 HYS (56) HYdrogen Sulfide production hydrogen sulfide produces test
The test of 58 TDA (58) Tryptophane DesAminase tryptophane desaminase
59 IND (59) INDole production indoles produces test
60 V-P (60) acetoin proeluction 3-oxobutanol produces test
The test of 61 GEL (61) GELatinase gelatinase
62 NIT (62) reduction of NITrates nitrate reduction test
12, the lactobacillus genus coding is identified embodiment:
The coding test subject
The fermentation test of 1 ARB (25) ARButine fermentation Resorcinol heteroside
The fermentation test of 2 RIB (6) RIBose fermentation ribose
The fermentation test of 3 NAG (23) N-Acetyl-Glucosamine N-acetylglucosamine
4 DXY (7) D-XYlose fermentation D-wood-sugar fermentation test
The fermentation test of 5 TRE (33) TREhalose fermentation trehalose
The fermentation test of 6 SOR (20) SORbitol fermentation sorb ferment
The fermentation test of 7 SUC (32) SUCrose fermentation sucrose
8 LAC (30) LACtose fermentation lactose-fermentation test
The fermentation test of 9 CEL (28) CELlobiose fermentation cellobiose
Close two sugar fermentating tests of 10 MEL (31) MELibiose fermentation
The fermentation test of 11 LAR (5) L-ARAbinose fermentation L-arabinose
The fermentation test of 12 RHA (16) RHAmnose fermentation rhamnosyl
The fermentation test of 13 DTA (43) D-TAgatose fermentation D-tagatose
14 GNT (48) GlucoNaTe fermentation gluconate utilization test
15 AMD (37) starch fermentation starch hydrolysis experiment
The supplementary test project
16 CTR (1) ConTRol contrast
The test of 17 GLY (2) GLYcerol fermentation glycerol fermentation
The pure fermentation test of the red aquatic foods of 18 ERY (3) ERYthritol fermentation
The fermentation test of 19 ARA (4) D-ARAbinose fermentation D-pectinose
20 XYL (8) L-XYLose fermentation L-wood-sugar fermentation test
The fermentation test of 21 ADO (9) ADOnitol fermentation Pentitol
22 MDX (10) β-Methyl-D-Xyloside Beta-methyl-D-xyloside
The fermentation fermentation test
The fermentation test of 23 GAL (11) GALactose fermentation semi-lactosi
The test of 24 GLU (12) GLUcose fermentation glucose fermentation
The fermentation test of 25 FRU (13) FRUctosr fermentation fructose
The fermentation test of 26 MNE (14) MaNnosE fermentation seminose
The fermentation test of 27 SOS (15) SOrboSe fermentation sorbose
The fermentation test of 28 DUL (17) DULcitol fermentation galactitol
The fermentation test of 29 INO (18) INOnitol fermentation inositol
The test of 30 MAN (19) MANnitol fermentation sorbitol fermentation
31 MDM (21) α-Methyl-D-Mannoside Alpha-Methyl-D-seminose
The fermentation fermentation test
32 MDG (22) α-Methyl-D-GLUcoside Alpha-Methyl D-glucoside
The fermentation fermentation test
The fermentation test of 33 AMY (24) AMYgdaline fermentation amygdaloside
34 ESC (26) ESCuline Vitamin C2 hydrolysis experiment
The fermentation test of 35 SAL (27) SALicin fermentation saligenin
The fermentation test of 36 MAL (29) MALtose fermentation maltose
The fermentation test of 37 INU (34) INUline fermentation synanthrin
The fermentation test of 38 MLZ (35) MeLeZitose fermentation melizitose
The fermentation test of 39 RAF (36) RAFfinose fermentation raffinose
The test of 40 GLG (38) GLycoGene fermentation glycerol fermentation
The test of 41 XLT (39) XyLiTol fermentation xylitol fermentation
The fermentation test of 42 GEN (40) GENtiobiose fermentation gentiobiose
The fermentation test of 43 TUR (41) D-TURanose fermentation turanose
The fermentation test of 44 LYX (42) D-LYXose fermentation lyxose
The fermentation test of 45 DFU (44) D-FUcose fermentation D-Fucose
The fermentation test of 46 LFU (45) L-FUcose fermentation L-Fucose
The fermentation test of 47 DAR (46) D-ARabitol fermentation D-arabitol
The fermentation test of 48 LAR (47) L-ARabitol fermentation L-arabitol
49 2KG (49) 2-Keto-GLuconate 2-ketone group-gluconic acid salt test
50 5KG (50) 5-Keto Gluconate 5-ketone group-gluconic acid salt test
Fig. 1 is the structural representation of Bacteria Identification equipment.
Fig. 2 is the entree free hand drawing of Bacteria Identification device system software.
Claims (5)
1, a kind of method for determining bacteria, the coding project that it is characterized in that the bacterial identification identification systems are a kind of in following 12 kinds of combinations:
(1) the coding project of non-enteron aisle gram negative bacillus identification systems is 2-ketone group-gluconate (2KG), 3-hydroxy-benzoic acid salt (3HB), 3-hydroxybutyric acid salt (OBU), citrate (CIT), L-proline(Pro) (LPR), Histidine (HIS), N-acetyl-D-amino glucose (NAG), glycogen (GLY), maltose (MAL), sucrose (SUC), the close disaccharides of D-(MEL), L-Fucose (FUC), D-glucose (GLU), inositol (INO), 15 tests of N.F,USP MANNITOL (MAN);
(2) the coding project of enteron aisle gram negative bacillus identification systems is oxydase (OXI), the dull and stereotyped growth of maconkey agar (MCK), power (MOT), lysine decarboxylase (LDC), ornithine decarboxylase (ODC), arginine dihydrolase (ADH), indoles produces (IND), urease (URE), citrate utilizes (CIT), glucose oxidase (GLO), mannose ferment (MAN), sucrose fermentation (SUC), rhamnosyl fermentation (RHA), amygdaloside fermentation (AMY), 15 tests of sorbitol fermentation (SOR);
(3) the coding project of enterobacteriaceae lactobacteriaceae identification systems is lysine decarboxylase (LDC), ornithine decarboxylase (ODC), malonate utilization (MAU), urease (URE), cellobiose fermentation (CEL), sorbitol fermentation (SOR), pectinose fermentation (LAR), Pentitol fermentation (ADO), sucrose fermentation (SUC), galactitol fermentation (DUL), Alpha-Methyl-glucoside fermentation (AMG), 12 tests of mannose ferment (MAN);
(4) the coding project of anerobe identification systems is gramstaining (GRS), the brood cell forms (SPO), alpha-glucosidase (AGL), alpha-galactosidase (AGA), α-arabinofuranosidase/xylosidase (AAR), beta-glucosidase (BGL), beta-galactosidase enzymes (BGA), beta-glucuronidase enzyme (BGU), leucine arylamine enzyme (LAA), proline(Pro) arylamine enzyme (PRA), alkaline phosphatase (ALP), indoles produces (IND), seminose fermentation (MAS), 14 tests of N-acetyl-(NAG);
(5) the coding project of Neisseria/hemophilus identification systems is catalase (CAT), the growth of Martin's agar (MTM), glucose fermentation (GLU), maltose fermentation (MLT), beta-glucosidase (BGL), phosphenylic acid salt (OPS), glycine arylamine enzyme (GLY), gamma-glutamyl arylamine enzyme (GGT), proline(Pro) arylamine enzyme (PRO), 10 tests of the reddish black reduction of resin (RES);
(6) the coding project of Campylobacter identification systems is catalase (CAT), nitrate reduction (NIT), urease (URE), succinate assimilation (SUT), acetate assimilation (ACE), hippurate hydrolysis (HIP), hydrogen sulfide generation (HYS), gamma-glutamyl based transferase (GGT), 9 tests of alkaline phosphatase (ALP);
(7) the coding project of yeast-like fungi identification systems is 2-ketone group-glucose (2KG), cycloheximide (ACT), tetrahydroxybutane (ERY), N.F,USP MANNITOL (MAN), inositol (INO), N-acetyl-D-amino glucose (NAG), L-arabinose (LAR), semi-lactosi (GAL), raffinose (RAF), cellobiose (CEL), lactose (LAC), maltose (MAL), close disaccharides (MEL), trehalose (TRE), 15 assimilation tests of Vitamin C2 (ESC);
(8) the coding project of coryneform bacteria identification systems is nitrate reduction (NIT), urease (URE), Vitamin C2 hydrolysis (ESC), maltose fermentation (MAL), sucrose fermentation (SUC), ribose fermentation (RIB), lactose fermentation (LAC), alpha-glucosidase (AGL), 9 tests of beta-galactosidase enzymes (BGA);
(9) the coding project of micrococcaceae Bacteria Identification system is urease (URE), nitrate reduction (NIT), the generation of 3-oxobutanol (V-P), arginine dihydrolase (ADH), ornithine decarboxylase (ODC), alkaline phosphatase (ALP), beta-galactosidase enzymes (BGA), beta-glucuronidase enzyme (BGU), glucose fermentation (GLF), sucrose fermentation (SUC), mannose ferment (MAN), trehalose fermentation (TRE) 12 tests;
(10) the coding project of Streptococcaceae Bacteria Identification system is that hemolytic (HEM), 3-oxobutanol produce (V-P), hippurate hydrolysis (HIP), arginine dihydrolase (ADH), alpha-aminoisocaproic acid arylamine enzyme (LAA), GRD beta-glucuronidase (BGU), beta-galactosidase enzymes (BGA), ribose fermentation (RIB), raffinose fermentation (RAF), sorbitol fermentation (SOR), pectinose fermentation (LAR), trehalose fermentation (TRE), 13 tests of lactose fermentation (LAC);
(11) the coding project of bacillus identification systems is arginine dihydrolase (ADH), urease (URE), citrate utilizes (CIT), beta-glucosidase (BGL), starch hydrolysis (AMD), L-arabinose fermentation (LAR), ribose fermentation (RIB), sorbitol fermentation (SOR), D-tagatose fermentation (DTA), N-acetylglucosamine (NAG), fructose fermentation (FRU), seminose fermentation (MAS), semi-lactosi fermentation (GAL), gentiobiose fermentation (GEN), Alpha-Methyl-15 tests of D-seminose (MDM);
(12) the coding project of lactobacillus identification systems is Resorcinol heteroside fermentations (ARB), ribose fermentation (RIB), N-acetylglucosamine (NAG), D-wood-sugar fermentation (DXY), trehalose fermentation (TRE), sorbitol fermentation (SOR), sucrose fermentation (SUC), lactose fermentation (LAC), cellobiose fermentation (CEL), close two sugar-fermentings (MEL), L-arabinose fermentation (LAR), rhamnosyl fermentation (RHA), D-tagatose fermentation (DTA), gluconate utilizes (GNT), 15 tests of starch hydrolysis (AMD).
2, a kind of method for determining bacteria according to claim 1 equipment that bacterium is identified, comprise: instruction input, cpu, depositing element, output block and system software, it is characterized in that depositing element is the non-easy real property lost semi-conductor storage, system software and data-storing are on this non-easy real property lost semi-conductor storage.
3, Bacteria Identification equipment according to claim 2 is characterized in that the described non-easy real property semi-conductor storage that loses is any in film memory, programable read only memory, erasable programmable read-only memory or the electrically erasable read-only memory.
4, Bacteria Identification equipment according to claim 2 is characterized in that described output block is color CRT or liquid-crystal display, under software is supported, and can the biological character of bacterium is next to illustrate visual form to show.
5, Bacteria Identification equipment according to claim 2 is characterized in that the composition structure of described instruction input, cpu, depositing element and output block is integrated.
Priority Applications (6)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 93106931 CN1083112A (en) | 1993-06-14 | 1993-06-14 | A kind of method for determining bacteria and equipment |
| EP94917544A EP0704538A4 (en) | 1993-06-14 | 1994-06-14 | A bacteria identification method and apparatus |
| PCT/CN1994/000044 WO1994029480A1 (en) | 1993-06-14 | 1994-06-14 | A bacteria identification method and apparatus |
| AU69233/94A AU691500B2 (en) | 1993-06-14 | 1994-06-14 | A bacteria identification method and apparatus |
| US08/569,210 US5783410A (en) | 1993-06-14 | 1994-06-14 | Bacteria identification method and apparatus |
| RU96103367A RU2138556C1 (en) | 1993-06-14 | 1994-06-14 | Method of bacterium identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 93106931 CN1083112A (en) | 1993-06-14 | 1993-06-14 | A kind of method for determining bacteria and equipment |
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| Publication Number | Publication Date |
|---|---|
| CN1083112A true CN1083112A (en) | 1994-03-02 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 93106931 Pending CN1083112A (en) | 1993-06-14 | 1993-06-14 | A kind of method for determining bacteria and equipment |
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| Country | Link |
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| CN (1) | CN1083112A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103194381A (en) * | 2013-04-03 | 2013-07-10 | 天津市兴源环境技术工程有限公司 | Screening and identification kit of denitrifying bacteria and screening and identification method |
| CN103760159A (en) * | 2014-01-24 | 2014-04-30 | 山东鑫科生物科技股份有限公司 | Method and system for identifying bacteria and analyzing drug sensitivity |
| CN105861621A (en) * | 2016-06-14 | 2016-08-17 | 广东省微生物研究所 | Method for identifying bacterium numerical value of common Listeria monocytogenes in food |
| CN113981034A (en) * | 2021-12-03 | 2022-01-28 | 惠州市阳光生物科技有限公司 | Method for identifying gram-negative bacillus, kit, computer device and storage medium |
-
1993
- 1993-06-14 CN CN 93106931 patent/CN1083112A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103194381A (en) * | 2013-04-03 | 2013-07-10 | 天津市兴源环境技术工程有限公司 | Screening and identification kit of denitrifying bacteria and screening and identification method |
| CN103760159A (en) * | 2014-01-24 | 2014-04-30 | 山东鑫科生物科技股份有限公司 | Method and system for identifying bacteria and analyzing drug sensitivity |
| CN105861621A (en) * | 2016-06-14 | 2016-08-17 | 广东省微生物研究所 | Method for identifying bacterium numerical value of common Listeria monocytogenes in food |
| CN105861621B (en) * | 2016-06-14 | 2020-03-24 | 广东省微生物研究所 | Bacterial value identification method for common listeria in food |
| CN113981034A (en) * | 2021-12-03 | 2022-01-28 | 惠州市阳光生物科技有限公司 | Method for identifying gram-negative bacillus, kit, computer device and storage medium |
| CN113981034B (en) * | 2021-12-03 | 2024-05-10 | 广东阳光生物科技有限公司 | Method for identifying gram-negative bacilli, kit, computer device and storage medium |
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